Our prototype implementation has been applied to several practical applications such as image search, object recognition and augmented reality applications.

Our prototype implementation has been applied to several practical applications such as image search, object recognition and augmented reality applications.

In this article, we dis- cuss an efficient mobile phone implementation of a state-of-the-art algorithm for computing robust image features called SURF. We.

This article discusses an efficient mobile phone implementation of a state-of-the-art algorithm for computing robust image features called SURF, ...

Efficient Extraction of Robust Image Features on Mobile Devices · Abstract · References · Cited By · Recommendations · Comments · Information & Contributors.

In this article, we discuss an efficient mobile phone implementation ofa state-of-the-artalgorithm for computing robust image features called SURF.

The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their ...

May 21, 2024 · This article aims to design a novel image reiterative extraction algorithm based on convolution neural network (CNN) learning and computational task offloading

Recently, the convolutional neural network (CNN) emerges as an effective and potential tool for feature extraction, which is considered the most popular ...

We systematically analyze the issue that existing detectors, when applied to remote sensing detection tasks, suffer from difficulty in extracting features ...